Results 71 to 80 of about 31,702 (236)
Rotatable Lens‐Based 3D Reconstruction Method for Monocular Vision Systems
Accurate 3D reconstruction in confined environments remains challenging because conventional vision‐based measurement systems are difficult to maintain compactness without sacrificing accuracy. Here, the authors develop a rotatable lens‐based monocular vision system, which is the first time using the refraction of the light induced by a rotating wedge ...
Puchen Zhu +11 more
wiley +1 more source
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun +4 more
wiley +1 more source
Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley +1 more source
Across their entire Atlantic breeding range, Atlantic puffins Fratercula arctica have experienced decreases in food availability, often leading to population declines. The species is one of the most numerous seabirds in Føroyar (the Faroe Islands, in English) but has faced apparent, unquantified population declines.
Anne N.M.A. Ausems +3 more
wiley +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
Options and Efficiency in Spaces of Bounded Claims [PDF]
Supplementing a finite state-space static securities market with options obtains market completeness. This study concludes that options maintain the same spanning power in the space of bounded payoff topologized by its duality with the space of the state
Galvani, Valentina, Troitsky, Vladimir
core
Managing the Threat of Subsidized Predators for a Threatened Shorebird
Subsidized predators—native predators that have become more common due to human activities—challenge the persistence of many at‐risk prey species and require creative solutions beyond lethal predator control. In an 8‐year study, we placed small wire cages over western snowy plover nests that allow passage of plovers, but not their predators, and ...
R. R. Swaisgood +4 more
wiley +1 more source
Mesopic microperimetry in Stargardt disease: Application and reliability
Abstract Purpose Mesopic microperimetry (mMP) is a promising functional endpoint in clinical trials for Stargardt disease type 1 (STGD1). This study evaluated the test–retest variability of mMP and influencing factors, which is essential for ensuring reliability in future STGD1 trials.
Sybren H. Kootstra +12 more
wiley +1 more source
Exploring fundus‐controlled mesopic and scotopic perimetry in inherited retinal disease
Abstract Purpose Microperimetry is increasingly used as an outcome measure in clinical trials for retinal disease. This study compares mesopic and scotopic microperimetry in a heterogeneous cohort of patients with inherited retinal disease to assess their suitability as clinical trial outcome measures and to determine the most appropriate testing ...
Laura J. Taylor +4 more
wiley +1 more source
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source

